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Reversible action design for combinatorial optimization with reinforcement learning
Combinatorial optimization problem (COP) over graphs is a fundamental challenge in
optimization. Reinforcement learning (RL) has recently emerged as a new framework to …
optimization. Reinforcement learning (RL) has recently emerged as a new framework to …
[PDF][PDF] A comparative study on regression model and artificial neural network for the prediction of wall temperature in a building
S Aishwarya, M Balasubramanian - J. Eng. Res, 2022 - researchgate.net
This paper demonstrates the validation and prediction of the wall temperature of a building
exposed to a composite climate. Two artificial intelligence models, such as multiple linear …
exposed to a composite climate. Two artificial intelligence models, such as multiple linear …
Neutrosophic enhanced convolutional neural network for occupancy detection: structured model development and evaluation.
This study introduces an advanced convolutional neural network (CNN) model tailored for
building occupancy detection that accommodates the inherent uncertainties and …
building occupancy detection that accommodates the inherent uncertainties and …
State-of-the-art activity recognition and prediction techniques applicable to the home energy management system
Owing to the tendency to convert ordinary homes to smart ones, there are novel
opportunities for home energy management systems to exploit the binary and analog …
opportunities for home energy management systems to exploit the binary and analog …
[PDF][PDF] Linking the physical and digital built environment
A Donkers - core.ac.uk
The indoor environment of our buildings hugely affects our daily quality of life. The air quality
and thermal, visual and acoustic comfort are known to influence occupants' satisfaction …
and thermal, visual and acoustic comfort are known to influence occupants' satisfaction …